"Using advances in 3D volumetric modelling alongside datasets from our partners (including Northwestern University), we've made progress in modelling lung cancer prediction as well as laying the groundwork for future clinical testing," Shravya Shetty, M.S. Technical Lead at Google wrote in a blog post.
Google leveraged 45,856 de-identified chest CT screening cases (some in which cancer was found) from NIH’s research dataset from the National Lung Screening Trial study and Northwestern University and validated the results with a second dataset and also compared their results against 6 U.S. board-certified radiologists.
The research team's work demonstrates the potential for AI to increase both accuracy and consistency, which could help accelerate adoption of lung cancer screening worldwide. Google says the initial results are encouraging, but further studies will assess the impact and utility in clinical practice.